Analytics Vidhya
Published in

Analytics Vidhya

Markov Chain Monte Carlo

A visual interpretation with Python

A Markov chain can be defined as a stochastic process Y in which the value at each point at time t depends only on the value at time t-1. It means that the probability for our stochastic process to have state x at time t, given all its past states, is equal to the probability of having state x at time t, given only its state at t-1.

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Valentina Alto

Valentina Alto

Cloud Specialist at @Microsoft | MSc in Data Science | Machine Learning, Statistics and Running enthusiast